Research map / Detection and segmentation / CNN features
Semantic Filtering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Pre-process MBS with Semantic Filtering | MBS · ECSSD | MAE: 0.1707 -> 0.1578 | Helped |
| Pre-process MBS with Semantic Filtering | MBS · ECSSD | WFM: 0.5612 -> 0.5846 | Helped |
| Add the learned edge classifier to the anisotropic filter | Domain Transform Filter · Natural scenes with multiple-scale objects | structure preservation | Helped |
| Use edge confidence directly instead of combining it with image gradients (ablation) | Cross DTF · Natural images | visual filtering quality | Hurt |
| Use median-filtered image gradients in the distance transform (ablation) | Semantic Filtering · Natural images with small-scale textures around edges | texture removal while preserving thin structures | Helped |
| Add Rolling GF pre-smoothing (ablation) | Semantic Filtering with D.T. Filter · 1 megapixel color image | runtime (Sec./Mp): 0.14 -> 0.27 | Hurt |
| Use Rolling GF as the scale-based smoothing method (ablation) | Structure-preserving filtering · Scenes containing objects and structures of multiple scales | robustness across object scales | Hurt |
Closest papers by meaning
- Edge-aware Image Smoothing with Relative Wavelet Domain Representation (ICLR 2025 · similarity 0.86)
- Side Window Filtering (CVPR 2019 · similarity 0.84)
- DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection (AAAI 2024 · similarity 0.84)
- Richer Convolutional Features for Edge Detection (CVPR 2017 · similarity 0.84)
- Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning (NeurIPS 2025 · similarity 0.82)
- Hierarchical Adaptive Filtering Network for Text Image Specular Highlight Removal (CVPR 2025 · similarity 0.82)
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